Combined Operational Decision Making for Multi-microgrid System Based on Cloud-edge Collaborative Computing Framework

With the utilization of digital intelligence technologies, flexible resources like distributed power generation and storage are being incorporated into modern smart distribution networks (DNs) in the form of microgrids (MGs). Additionally, the interaction between MGs and DN has shifted from a unidirectional power flow, where supply follows demand, to a bidirectional exchange of power and energy based on their operational and economic needs. In this context, this paper proposes a combined operational decision making method for multi-microgrid systems (MMGS) based on a cloud-edge collaborative computing framework. In this framework, the DN's computational resources are viewed as the cloud center, while the MGs act as edge nodes. The edge computing nodes calculate the individual MG optimization models and upload them to the cloud center, where the combined economic dispatch optimization model is computed, along with benefit distribution within the MMGS. Simulations were conducted on the MMGS consisting of a DN and three MGs in different regions. The results confirm the effectiveness of the proposed optimization model.